{"id":"https://openalex.org/W3208861962","doi":"https://doi.org/10.4018/ijisss.2022010103","title":"Aspect-Based and Multi-Level Sentiment Information Applying Contrast Dictionary","display_name":"Aspect-Based and Multi-Level Sentiment Information Applying Contrast Dictionary","publication_year":2021,"publication_date":"2021-09-03","ids":{"openalex":"https://openalex.org/W3208861962","doi":"https://doi.org/10.4018/ijisss.2022010103","mag":"3208861962"},"language":"en","primary_location":{"id":"doi:10.4018/ijisss.2022010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijisss.2022010103","pdf_url":null,"source":{"id":"https://openalex.org/S160826262","display_name":"International Journal of Information Systems in the Service Sector","issn_l":"1935-5688","issn":["1935-5688","1935-5696"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Systems in the Service Sector","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005418718","display_name":"Myint Zaw","orcid":"https://orcid.org/0000-0001-9943-3858"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Myint Zaw","raw_affiliation_strings":["Prince of Songkla University, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-9943-3858","affiliations":[{"raw_affiliation_string":"Prince of Songkla University, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017045899","display_name":"Pichaya Tandayya","orcid":"https://orcid.org/0000-0001-9454-8146"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pichaya Tandayya","raw_affiliation_strings":["Prince of Songkla University, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-9454-8146","affiliations":[{"raw_affiliation_string":"Prince of Songkla University, Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I131868736"],"apc_list":null,"apc_paid":null,"fwci":0.273,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63703491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"14","issue":"1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8051954507827759},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.7351214289665222},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7336032390594482},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6345409154891968},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6136831641197205},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5850099325180054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5510948300361633},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5394763350486755},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5259518623352051},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5249704718589783},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47230127453804016},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33197978138923645},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07834324240684509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051954507827759},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7351214289665222},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7336032390594482},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6345409154891968},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6136831641197205},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5850099325180054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5510948300361633},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5394763350486755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5259518623352051},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5249704718589783},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47230127453804016},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33197978138923645},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07834324240684509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijisss.2022010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijisss.2022010103","pdf_url":null,"source":{"id":"https://openalex.org/S160826262","display_name":"International Journal of Information Systems in the Service Sector","issn_l":"1935-5688","issn":["1935-5688","1935-5696"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Systems in the Service Sector","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1572786359","https://openalex.org/W1987425720","https://openalex.org/W2020278455","https://openalex.org/W2035199606","https://openalex.org/W2058929792","https://openalex.org/W2253519362","https://openalex.org/W2285252321","https://openalex.org/W2306941105","https://openalex.org/W2480904509","https://openalex.org/W2487200295","https://openalex.org/W2518694508","https://openalex.org/W2529471236","https://openalex.org/W2549528536","https://openalex.org/W2556605533","https://openalex.org/W2584429674","https://openalex.org/W2585869517","https://openalex.org/W2729960909","https://openalex.org/W2755635161","https://openalex.org/W2774008574","https://openalex.org/W2793894766","https://openalex.org/W2895547478","https://openalex.org/W2900244775","https://openalex.org/W2936646892","https://openalex.org/W2950005877","https://openalex.org/W2982281530","https://openalex.org/W2995954664","https://openalex.org/W3013184474","https://openalex.org/W3046921440","https://openalex.org/W3110730900","https://openalex.org/W3112493714"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3013279174","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989"],"abstract_inverted_index":{"The":[0,48,71,90],"customer":[1,46,139],"feedbacks":[2],"provide":[3],"alternative":[4],"and":[5,14,68,124,131,141],"important":[6],"sources":[7],"to":[8,16,24,81],"discover":[9],"knowledge":[10],"supporting":[11],"the":[12,21,37,40,83,105,110,115,119,122],"marketers":[13],"customers":[15],"make":[17],"better":[18],"decisions.":[19],"However,":[20],"manual":[22],"process":[23],"extract":[25,82],"useful":[26],"information":[27,43,96,108,134],"depends":[28],"on":[29,35,138],"domain":[30],"experts.":[31],"This":[32,133],"paper":[33],"focuses":[34],"improving":[36],"performance":[38],"of":[39,59,86,100,121],"automatic":[41],"sentiment":[42,73,92,95,107,123],"extraction":[44,53,74,111],"from":[45,97],"feedbacks.":[47],"article":[49],"proposes":[50],"a":[51,76,87],"new":[52],"method":[54],"that":[55],"consider":[56],"multiple":[57,98],"dimensions":[58],"feedback":[60,101],"information,":[61],"aspect,":[62],"word,":[63],"contrast,":[64],"sentence":[65],"or":[66],"phrase,":[67],"document":[69],"levels.":[70],"aspect-based":[72,91],"uses":[75],"named":[77],"entity":[78],"recognition":[79,126],"technique":[80],"desired":[84],"aspects":[85],"target":[88],"product.":[89],"combines":[93],"with":[94,129],"levels":[99],"contexts":[102],"resulting":[103],"in":[104,145],"fused":[106],"improves":[109],"performance.":[112],"We":[113],"validate":[114],"effectiveness":[116],"by":[117],"measuring":[118],"accuracy":[120],"aspect":[125],"methods":[127],"comparing":[128],"SentiStrength":[130],"Word-Count.":[132],"gives":[135],"some":[136],"insights":[137],"satisfaction":[140],"can":[142],"be":[143],"applied":[144],"an":[146],"alarming":[147],"tool.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
